R&D Engineer (AI)

TL;DR

R&D Engineer (AI): Designing and developing neural network architectures for YOLO models with an accent on computer vision, model efficiency, and performance. Focus on implementing cutting-edge research papers, optimizing accuracy and latency, and building production-ready open-source vision systems.

Location: Remote

Company

hirify.global is a leading AI company simplifying computer vision through the development of open-source YOLO models used by millions of developers worldwide.

What you will do

• Research and design novel neural network architectures for next-generation YOLO models.
• Develop core components including backbones, necks, heads, and attention modules.
• Implement and extend cutting-edge research papers into working model architectures from scratch.
• Run rigorous ablation studies and large-scale architecture experiments across standard benchmarks.
• Improve accuracy, latency, and scaling through distillation, pruning, and quantization-aware design.
• Partner with R&D and engineering teams to turn research ideas into production-ready open-source models.

Requirements

• 5+ years of hands-on experience in computer vision and deep learning with architecture design expertise.
• Proven success building models from the ground up.
• Expert-level Python and deep proficiency in PyTorch, including custom layers and training loops.
• Strong command of convolutions, attention, normalization, optimization, and loss design.
• Ability to read research papers and implement them faithfully and efficiently from scratch.
• Experience with efficiency research such as quantization, pruning, or distillation.

Nice to have

• Published research at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR.
• Experience with distributed training, mixed precision, CUDA profiling, or model deployment.
• Active open-source presence with architecture-focused repositories.
• Familiarity with the hirify.global Python package, documentation, or community forum.

Culture & Benefits

• Competitive salary and equity packages.
• Flexible working hours and generous time off (24 vacation days plus birthday off).
• High-end hardware: Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
• Dedicated budget for personal and professional growth.
• Opportunity to work on high-impact AI projects that shape the future of vision AI.